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Simple Search
Hits 1 – 8 of 8
1
ARL Arabic Dependency Treebank
Tratz, Stephen C
. - : Linguistic Data Consortium, 2016. : https://www.ldc.upenn.edu, 2016
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2
ARL Arabic Dependency Treebank ...
Tratz, Stephen C
. - : Linguistic Data Consortium, 2016
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3
Accurate Arabic Script Language/Dialect Classification
Tratz, Stephen C
In: DTIC (2014)
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4
Arabic Natural Language Processing System Code Library
Tratz, Stephen C
In: DTIC (2014)
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5
A High Accuracy Method for Semi-supervised Information Extraction
Tratz, Stephen C.
;
Sanfilippo, Antonio P.
In: Proceedings of Human Language Technologies: The Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), 169-172 (2007)
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6
PNNL: A Supervised Maximum Entropy Approach to Word Sense Disambiguation
Tratz, Stephen C.
;
Sanfilippo, Antonio P.
;
Gregory, Michelle L.
...
In: SemEval 2007, Proceedings of the 4th International Workshop on Semantic Evaluations, June 23-24, 2007, Prague, Czech Republic, 264-267 (2007)
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7
Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity
Sanfilippo, Antonio P.
;
Posse, Christian
;
Gopalan, Banu
...
In: Human Language Technology Conference/North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL) June 8-9, 2006, New York City, New York. Proceedings of the BioNLP'06 Workshop on Linking Natural Language Processing and Biology: Towards deeper biological literature analysis, 25-32 (2006)
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8
Word Domain Disambiguation via Word Sense Disambiguation
Sanfilippo, Antonio P.
;
Tratz, Stephen C.
;
Gregory, Michelle L.
In: Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics June 4-9, 2006, New York, New York, 141-144 (2006)
Abstract:
Word subject domains have been widely used to improve the perform-ance of word sense disambiguation al-gorithms. However, comparatively little effort has been devoted so far to the disambiguation of word subject do-mains. The few existing approaches have focused on the development of al-gorithms specific to word domain dis-ambiguation. In this paper we explore an alternative approach where word domain disambiguation is achieved via word sense disambiguation. Our study shows that this approach yields very strong results, suggesting that word domain disambiguation can be ad-dressed in terms of word sense disam-biguation with no need for special purpose algorithms.
Keyword:
99 General And Miscellaneous//Mathematics
;
Algorithms
;
And Information Science
;
Computing
;
Data Base Management Word Domain Disambiguation
;
Performance
;
Word Domain Disambiguation
;
Word Sense Disambiguation
URL:
http://digital.library.unt.edu/ark:/67531/metadc891044/
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